Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
Abstract Model predictive control (MPC) has shown great potential in improving building
performance and saving energy. However, after over 20 years of research, it is yet to be …
performance and saving energy. However, after over 20 years of research, it is yet to be …
On the assessment and control optimisation of demand response programs in residential buildings
The ability to control and optimise energy consumption at end-user level is of increasing
interest as a means to achieve a balance between supply and demand, particularly when …
interest as a means to achieve a balance between supply and demand, particularly when …
Quantifying flexibility of commercial and residential loads for demand response using setpoint changes
This paper presents a novel demand response estimation framework for residential and
commercial buildings using a combination of EnergyPlus and two-state models for …
commercial buildings using a combination of EnergyPlus and two-state models for …
Energy optimization algorithms for multi-residential buildings: A model predictive control application
This study presents an optimization algorithm for Model Predictive Control (MPC) of the
HVAC systems in multi-family residential buildings assessing the performance of four …
HVAC systems in multi-family residential buildings assessing the performance of four …
[PDF][PDF] CityBES: A web-based platform to support city-scale building energy efficiency
Buildings in cities consume 30 to 70% of the cities' total primary energy. Retrofitting the
existing building stock to improve energy efficiency and reduce energy use is a key strategy …
existing building stock to improve energy efficiency and reduce energy use is a key strategy …
Frequency regulation from commercial building HVAC demand response
The expanding penetration of nondispatchable renewable resources within power system
generation portfolios is motivating the development of demand-side strategies for balancing …
generation portfolios is motivating the development of demand-side strategies for balancing …
[HTML][HTML] Multi-zone building control with thermal comfort constraints under disjunctive uncertainty using data-driven robust model predictive control
This paper proposes a novel data-driven robust model predictive control (MPC) framework
for a multi-zone building considering thermal comfort and uncertain weather forecast errors …
for a multi-zone building considering thermal comfort and uncertain weather forecast errors …
Energy retrofit analysis toolkits for commercial buildings: A review
Retrofit analysis toolkits can be used to optimize energy or cost savings from retrofit
strategies, accelerating the adoption of ECMs (energy conservation measures) in buildings …
strategies, accelerating the adoption of ECMs (energy conservation measures) in buildings …
A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses
Within the residential building sector, the air-conditioning (AC) load is the main target for
peak load shifting and reduction since it is the largest contributor to peak demand. By …
peak load shifting and reduction since it is the largest contributor to peak demand. By …
A state-space thermal model incorporating humidity and thermal comfort for model predictive control in buildings
A major challenge in applying Model Predictive Control (MPC) to building automation and
control (BAC) is the development of a simplified mathematical model of the building for real …
control (BAC) is the development of a simplified mathematical model of the building for real …